معرفی
Michael E. Sobel is a Professor in the Department of Statistics at Columbia University. His research focuses on causal inference, functional magnetic resonance imaging (fMRI), and social statistics. He has contributed extensively to methodologies for analyzing causal effects in complex observational and experimental data, particularly in neuroimaging, social policy evaluation, and longitudinal studies.
His work bridges statistical theory and applied social science, addressing challenges such as mediation analysis, compliance modeling, and interference effects in randomized trials. Notable contributions include advancements in causal inference for fMRI data and frameworks for interpreting mobility effects in sociological studies. Sobel’s research spans interdisciplinary applications, including public health, political science, and urban policy.
He has authored influential papers on topics like the causal interpretation of fMRI connectivity, the analysis of treatment effects with all-or-nothing compliance, and the evaluation of housing mobility programs. His methodologies have been adopted in diverse fields, emphasizing rigorous statistical approaches to real-world problems.
